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DBMS > Badger vs. Databricks vs. GBase vs. IBM Cloudant

System Properties Comparison Badger vs. Databricks vs. GBase vs. IBM Cloudant

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonGBase  Xexclude from comparisonIBM Cloudant  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Database as a Service offering based on Apache CouchDB
Primary database modelKey-value storeDocument store
Relational DBMS
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.databricks.comwww.gbase.cnwww.ibm.com/­products/­cloudant
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comcloud.ibm.com/­docs/­Cloudant
DeveloperDGraph LabsDatabricksGeneral Data Technology Co., Ltd.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release2017201320042010
Current releaseGBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, Java, PythonErlang
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinuxhosted
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datenoyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnowith Databricks SQLStandard with numerous extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesGoPython
R
Scala
C#C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregatesuser defined functionsView functions (Map-Reduce) in JavaScript
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic locking
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoyesAccess rights for users can be defined per database
More information provided by the system vendor
BadgerDatabricksGBaseIBM Cloudant
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BadgerDatabricksGBaseIBM Cloudant
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